Steven Peterson

765 total citations
21 papers, 493 citations indexed

About

Steven Peterson is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Steven Peterson has authored 21 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Steven Peterson's work include EEG and Brain-Computer Interfaces (9 papers), Neural dynamics and brain function (8 papers) and Motor Control and Adaptation (4 papers). Steven Peterson is often cited by papers focused on EEG and Brain-Computer Interfaces (9 papers), Neural dynamics and brain function (8 papers) and Motor Control and Adaptation (4 papers). Steven Peterson collaborates with scholars based in United States, Germany and Canada. Steven Peterson's co-authors include Daniel P. Ferris, Debajit Saha, Baranidharan Raman, Chao Li, Rajesh P. N. Rao, Bingni W. Brunton, Zoe Steine-Hanson, William Padovano, Chao Li and Peter König and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Steven Peterson

21 papers receiving 491 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Steven Peterson United States 9 271 112 110 101 46 21 493
Yuri Danilov United States 17 431 1.6× 114 1.0× 121 1.1× 118 1.2× 97 2.1× 39 847
Sho Nakagome United States 14 449 1.7× 329 2.9× 83 0.8× 135 1.3× 15 0.3× 22 695
Matthias Stangl United States 15 559 2.1× 70 0.6× 11 0.1× 110 1.1× 33 0.7× 23 797
Valérie Gaveau France 16 562 2.1× 95 0.8× 32 0.3× 114 1.1× 131 2.8× 32 713
Johanna Wagner United States 13 996 3.7× 405 3.6× 128 1.2× 188 1.9× 9 0.2× 26 1.2k
Jeongho Park South Korea 10 144 0.5× 26 0.2× 89 0.8× 143 1.4× 15 0.3× 24 495
S. Watts Canada 17 556 2.1× 340 3.0× 94 0.9× 55 0.5× 19 0.4× 20 829
Sylvain Hanneton France 17 554 2.0× 91 0.8× 55 0.5× 35 0.3× 18 0.4× 45 965
Carlos Júlio Tierra-Criollo Brazil 13 178 0.7× 81 0.7× 8 0.1× 54 0.5× 18 0.4× 47 436
Francine Thullier France 11 150 0.6× 50 0.4× 34 0.3× 66 0.7× 5 0.1× 19 384

Countries citing papers authored by Steven Peterson

Since Specialization
Citations

This map shows the geographic impact of Steven Peterson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Steven Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Peterson more than expected).

Fields of papers citing papers by Steven Peterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Peterson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Steven Peterson. The network helps show where Steven Peterson may publish in the future.

Co-authorship network of co-authors of Steven Peterson

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Peterson. A scholar is included among the top collaborators of Steven Peterson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven Peterson. Steven Peterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Richer, Natalie, Steven Peterson, & Daniel P. Ferris. (2024). Vision Is Not Required to Elicit Balance Improvements From Beam Walking Practice. Motor Control. 28(4). 480–492. 1 indexed citations
2.
Peterson, Steven, Rajesh P. N. Rao, & Bingni W. Brunton. (2022). Learning neural decoders without labels using multiple data streams. Journal of Neural Engineering. 19(4). 46032–46032. 4 indexed citations
3.
Peterson, Steven, et al.. (2022). AJILE12: Long-term naturalistic human intracranial neural recordings and pose. Scientific Data. 9(1). 184–184. 6 indexed citations
4.
Peterson, Steven, et al.. (2021). Generalized neural decoders for transfer learning across participants and recording modalities. Journal of Neural Engineering. 18(2). 26014–26014. 24 indexed citations
5.
Peterson, Steven, et al.. (2021). Mining naturalistic human behaviors in long-term video and neural recordings. Journal of Neuroscience Methods. 358. 109199–109199. 5 indexed citations
6.
Peterson, Steven & Daniel P. Ferris. (2021). Human electrocortical, electromyographical, ocular, and kinematic data during perturbed walking and standing. SHILAP Revista de lepidopterología. 39. 107635–107635. 2 indexed citations
7.
Peterson, Steven, et al.. (2021). Behavioral and Neural Variability of Naturalistic Arm Movements. eNeuro. 8(3). ENEURO.0007–21.2021. 6 indexed citations
8.
Peterson, Steven & Daniel P. Ferris. (2019). Group-level cortical and muscular connectivity during perturbations to walking and standing balance. NeuroImage. 198. 93–103. 64 indexed citations
9.
Peterson, Steven, et al.. (2018). Effects of virtual reality high heights exposure during beam-walking on physiological stress and cognitive loading. PLoS ONE. 13(7). e0200306–e0200306. 82 indexed citations
10.
Peterson, Steven & Daniel P. Ferris. (2018). Differentiation in Theta and Beta Electrocortical Activity between Visual and Physical Perturbations to Walking and Standing Balance. eNeuro. 5(4). ENEURO.0207–18.2018. 114 indexed citations
11.
Peterson, Steven & Daniel P. Ferris. (2018). Combined head phantom and neural mass model validation of effective connectivity measures. Journal of Neural Engineering. 16(2). 26010–26010. 14 indexed citations
12.
Peterson, Steven, et al.. (2018). Transient visual perturbations boost short-term balance learning in virtual reality by modulating electrocortical activity. Journal of Neurophysiology. 120(4). 1998–2010. 39 indexed citations
13.
Schlink, Bryan R., Steven Peterson, W. David Hairston, et al.. (2017). Independent Component Analysis and Source Localization on Mobile EEG Data Can Identify Increased Levels of Acute Stress. Frontiers in Human Neuroscience. 11. 310–310. 16 indexed citations
14.
Saha, Debajit, et al.. (2015). Behavioural correlates of combinatorial versus temporal features of odour codes. Nature Communications. 6(1). 6953–6953. 23 indexed citations
15.
Saha, Debajit, et al.. (2013). A spatiotemporal coding mechanism for background-invariant odor recognition. Nature Neuroscience. 16(12). 1830–1839. 73 indexed citations
16.
Peterson, Steven, et al.. (2002). A hybrid neural network and expert system for monitoring fossil fuel power plants. 215–218. 5 indexed citations
17.
Peterson, Steven, et al.. (1991). Hybrid neural net and rule based system for boiler monitoring and diagnosis. 53. 3 indexed citations
18.
Peterson, Steven, et al.. (1989). Implementation of rule-based technology in a shop scheduling system. 865–873. 1 indexed citations
19.
Peterson, Steven, et al.. (1983). THREE-FINGERED, ARTICULATED, ROBOTIC HAND.. 4 indexed citations
20.
Erdman, Arthur G., Donald R. Riley, & Steven Peterson. (1982). HOW CAI ENHANCES LEARNING OF MECHANISM ANALYSIS AND SYNTHESIS.. Mechanical Engineering. 104(9). 20–23. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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